SOTAVerified

Autonomous Driving

Autonomous driving is the task of driving a vehicle without human conduction.

Many of the state-of-the-art results can be found at more general task pages such as 3D Object Detection and Semantic Segmentation.

(Image credit: Exploring the Limitations of Behavior Cloning for Autonomous Driving)

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 2651–2700 of 6092 papers

TitleStatusHype
CalibRBEV: Multi-Camera Calibration via ReversedBird's-eye-view Representations for Autonomous Driving.—0
Is Behavior Cloning All You Need? Understanding Horizon in Imitation Learning—0
CORT: Class-Oriented Real-time Tracking for Embedded Systems—0
KoMA: Knowledge-driven Multi-agent Framework for Autonomous Driving with Large Language Models—0
Hyperparameter Optimization for Driving Strategies Based on Reinforcement Learning—0
Complementary Learning for Real-World Model Failure DetectionCode0
Risk-Aware Vehicle Trajectory Prediction Under Safety-Critical Scenarios—0
OE-BevSeg: An Object Informed and Environment Aware Multimodal Framework for Bird's-eye-view Vehicle Semantic Segmentation—0
Boosting Online 3D Multi-Object Tracking through Camera-Radar Cross Check—0
Real-Time 3D Occupancy Prediction via Geometric-Semantic Disentanglement—0
SUSTechGAN: Image Generation for Object Detection in Adverse Conditions of Autonomous DrivingCode0
Improving Out-of-Distribution Generalization of Trajectory Prediction for Autonomous Driving via Polynomial RepresentationsCode0
KiGRAS: Kinematic-Driven Generative Model for Realistic Agent Simulation—0
Hierarchical and Decoupled BEV Perception Learning Framework for Autonomous Driving—0
Sparsity-based Safety Conservatism for Constrained Offline Reinforcement Learning—0
Continual Learning for Adaptable Car-Following in Dynamic Traffic Environments—0
MapDistill: Boosting Efficient Camera-based HD Map Construction via Camera-LiDAR Fusion Model Distillation—0
Segment, Lift and Fit: Automatic 3D Shape Labeling from 2D Prompts—0
Latency optimized Deep Neural Networks (DNNs): An Artificial Intelligence approach at the Edge using Multiprocessor System on Chip (MPSoC)—0
Perception Helps Planning: Facilitating Multi-Stage Lane-Level Integration via Double-Edge Structures—0
DINO Pre-training for Vision-based End-to-end Autonomous Driving—0
Adaptive Prediction Ensemble: Improving Out-of-Distribution Generalization of Motion Forecasting—0
Uplifting Range-View-based 3D Semantic Segmentation in Real-Time with Multi-Sensor Fusion—0
Decentralized multi-agent reinforcement learning algorithm using a cluster-synchronized laser network—0
Graph Neural Networks with Model-based Reinforcement Learning for Multi-agent Systems—0
BLOS-BEV: Navigation Map Enhanced Lane Segmentation Network, Beyond Line of Sight—0
Application of Data-Driven Model Predictive Control for Autonomous Vehicle Steering—0
Accurate Cooperative Localization Utilizing LiDAR-equipped Roadside Infrastructure for Autonomous Driving—0
MapLocNet: Coarse-to-Fine Feature Registration for Visual Re-Localization in Navigation Maps—0
CLEO: Continual Learning of Evolving Ontologies—0
Event-Aided Time-to-Collision Estimation for Autonomous Driving—0
LSM: A Comprehensive Metric for Assessing the Safety of Lane Detection Systems in Autonomous Driving—0
Deep Learning-Based Robust Multi-Object Tracking via Fusion of mmWave Radar and Camera Sensors—0
Let Occ Flow: Self-Supervised 3D Occupancy Flow Prediction—0
Towards Human-Like Driving: Active Inference in Autonomous Vehicle Control—0
NDST: Neural Driving Style Transfer for Human-Like Vision-Based Autonomous Driving—0
Invisible Optical Adversarial Stripes on Traffic Sign against Autonomous Vehicles—0
Exploring the Untouched Sweeps for Conflict-Aware 3D Segmentation Pretraining—0
Explainable AI for Enhancing Efficiency of DL-based Channel Estimation—0
Less is More: Efficient Brain-Inspired Learning for Autonomous Driving Trajectory Prediction—0
VQA-Diff: Exploiting VQA and Diffusion for Zero-Shot Image-to-3D Vehicle Asset Generation in Autonomous Driving—0
Exploring Camera Encoder Designs for Autonomous Driving Perception—0
Enhancing Vision-Language Models with Scene Graphs for Traffic Accident Understanding—0
Enhanced Safety in Autonomous Driving: Integrating Latent State Diffusion Model for End-to-End Navigation—0
Boosting 3D Object Detection with Semantic-Aware Multi-Branch Framework—0
MSTF: Multiscale Transformer for Incomplete Trajectory Prediction—0
Cross-domain Few-shot In-context Learning for Enhancing Traffic Sign Recognition—0
RHRSegNet: Relighting High-Resolution Night-Time Semantic Segmentation—0
GenFollower: Enhancing Car-Following Prediction with Large Language Models—0
Evolutionary Trigger Detection and Lightweight Model Repair Based Backdoor Defense—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ReasonNetDriving Score79.95—Unverified
2InterFuserDriving Score76.18—Unverified
3TCPDriving Score75.14—Unverified
4TF++ WPDriving Score66.32—Unverified
5Learning From All Vehicles (LAV)Driving Score61.85—Unverified
6TransFuserDriving Score61.18—Unverified
7TransFuser (Reproduced)Driving Score55.04—Unverified
8TCP (Reproduced)Driving Score47.91—Unverified
9Latent TransFuserDriving Score45.2—Unverified
10GRIADDriving Score36.79—Unverified
#ModelMetricClaimedVerifiedStatus
1Geometric FusionRC69.17—Unverified
2TransFuserRC56.36—Unverified
#ModelMetricClaimedVerifiedStatus
1Geometric FusionRC86.91—Unverified
2TransFuserRC78.41—Unverified